Use of artificial neural network for medical risk assessment analysis

被引：0

作者：

Hafshejani, Mariam K. ^{[1
]}

Naeini, Manochehr Sattari ^{[2
]}

Mohammadsharifi, Aboosaleh ^{[3
]}

Langari, Ameneh ^{[4
]}

机构：

[1] Shahrekord Univ Med Sci, Shahrekord, Iran

[2] Islamic Azad Univ, Naein Branch, Dept Biol, Naein, Iran

[3] Islamic Azad Univ, Ramsar Branch, Engn Grp, Ramsar, Iran

[4] North Khorasan Univ Med Sci, Bojnurd, Iran

来源：

LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION | 2012年 / 9卷 / 04期

关键词：

Medical risk assessment; Neural network (NN); HEALTH;

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

For new medical products and new drugs, unanticipated side effects that rise after consuming the new product is a dominant factor in decision making. In this project, an artificial neural network (NN) engine is designed and developed by the authors to the aim of a medical risk assessment. Firstly, an appropriate NN system is designed and trained. We mostly concerned with the procedure of how the developed NN construction and training. The designed NN for this case has three layers of neuron. These three layers include an input layer, a hidden layer and finally an output layer, with 25 neurons in the hidden layer. The results from NN models can match the data used for training. [Hafshejani M K, Sattari Naeini M, Mohammadsharifi A, Langari A. Use of Artificial Neural Network for Medical Risk Assessment Analysis. Life Sci J 2012;9(4):923-925] (ISSN:1097-8135). http://www.lifesciencesite.com. 143

引用

页码：923 / 925

页数：3

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